Anke Tang

28 papers A* 6Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
ACE-Brain-0: Spatial Intelligence as a Shared Scaffold for Universal Embodiments.
CoRR
Ziyang Gong, Zehang Luo, Anke Tang, Zhe Liu, Shi Fu, Zhi Hou, Ganlin Yang, Weiyun Wang, Xiaofeng Wang, Jianbo Liu, Gen Luo, Haolan Kang, Shuang Luo, Yue Zhou, Yong Luo, Li Shen, Xiaosong Jia, Yao Mu, Xue Yang, Chunxiao Liu, Junchi Yan, Hengshuang Zhao, Dacheng Tao, Xiaogang Wang
2026 J jnl
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging.
IEEE Trans. Pattern Anal. Mach. Intell.
Li Shen, Anke Tang, Enneng Yang, Guibing Guo, Yong Luo, Lefei Zhang, Xiaochun Cao, Bo Du, Dacheng Tao
2026 J jnl
Understanding Model Merging: A Unified Generalization Framework for Heterogeneous Experts.
CoRR
Qinglun Li, Anke Tang, Miao Zhang, Mengzhu Wang, Quanjun Yin, Li Shen
2026 J jnl
Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Anke Tang, Li Shen, Yong Luo, Shuai Xie, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao
2025 J jnl
Data-Adaptive Weight-Ensembling for Multi-task Model Fusion.
Int. J. Comput. Vis.
Anke Tang, Li Shen, Yong Luo, Shiwei Liu, Han Hu, Bo Du, Dacheng Tao
2025 J jnl
FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion.
J. Mach. Learn. Res.
Anke Tang, Li Shen, Yong Luo, Enneng Yang, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao
2025 J jnl
Learning from models beyond fine-tuning.
Nat. Mac. Intell.
Hongling Zheng, Li Shen, Anke Tang, Yong Luo, Han Hu, Bo Du, Yonggang Wen, Dacheng Tao
2025 J jnl
Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging.
CoRR
Anke Tang, Enneng Yang, Li Shen, Yong Luo, Han Hu, Bo Du, Dacheng Tao
2025 A* conf
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace.
ICLR
Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu
2025 J jnl
Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging.
CoRR
Jinluan Yang, Dingnan Jin, Anke Tang, Li Shen, Didi Zhu, Zhengyu Chen, Daixin Wang, Qing Cui, Zhiqiang Zhang, Jun Zhou, Fei Wu, Kun Kuang
2025 A* conf
Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent.
ICML
Yongxian Wei, Anke Tang, Li Shen, Zixuan Hu, Chun Yuan, Xiaochun Cao
2025 J jnl
Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent.
CoRR
Yongxian Wei, Anke Tang, Li Shen, Chun Yuan, Xiaochun Cao
2025 — conf
Successive Mouse Movement: Dual-Phase Adaptation with Pre-balancing and Test-Time Learning.
ICONIP (1)
Jingyi Feng, Yong Luo, Anke Tang, Xuxu Liu
2025 A* conf
Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision.
ICML
Li Shen, Anke Tang, Yong Luo, Tao Sun, Han Hu, Xiaochun Cao
2025 J jnl
Unsupervised deep learning model for fast energy layer pre-selection of delivery-efficient proton arc therapy plan optimization of nasopharyngeal carcinoma.
CoRR
Bohan Yang, Gang Liu, Rirao Dao, Yujia Qian, Ke Shi, Anke Tang, Yong Luo, Jingnan Liu
2024 J jnl
Efficient and Effective Weight-Ensembling Mixture of Experts for Multi-Task Model Merging.
CoRR
Li Shen, Anke Tang, Enneng Yang, Guibing Guo, Yong Luo, Lefei Zhang, Xiaochun Cao, Bo Du, Dacheng Tao
2024 J jnl
FusionBench: A Comprehensive Benchmark of Deep Model Fusion.
CoRR
Anke Tang, Li Shen, Yong Luo, Han Hu, Bo Du, Dacheng Tao
2024 A* conf
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts.
ICML
Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao
2024 J jnl
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts.
CoRR
Anke Tang, Li Shen, Yong Luo, Nan Yin, Lefei Zhang, Dacheng Tao
2024 J jnl
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace.
CoRR
Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu
2024 A* conf
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization.
ICLR
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao
2024 J jnl
SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models.
CoRR
Anke Tang, Li Shen, Yong Luo, Shuai Xie, Han Hu, Lefei Zhang, Bo Du, Dacheng Tao
2024 J jnl
Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion.
CoRR
Anke Tang, Li Shen, Yong Luo, Shiwei Liu, Han Hu, Bo Du
2023 J jnl
Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion.
CoRR
Anke Tang, Li Shen, Yong Luo, Liang Ding, Han Hu, Bo Du, Dacheng Tao
2023 A* conf
Improving Heterogeneous Model Reuse by Density Estimation.
IJCAI
Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao
2023 J jnl
Improving Heterogeneous Model Reuse by Density Estimation.
CoRR
Anke Tang, Yong Luo, Han Hu, Fengxiang He, Kehua Su, Bo Du, Yixin Chen, Dacheng Tao
2023 J jnl
Learn From Model Beyond Fine-Tuning: A Survey.
CoRR
Hongling Zheng, Li Shen, Anke Tang, Yong Luo, Han Hu, Bo Du, Dacheng Tao
2023 J jnl
Parameter Efficient Multi-task Model Fusion with Partial Linearization.
CoRR
Anke Tang, Li Shen, Yong Luo, Yibing Zhan, Han Hu, Bo Du, Yixin Chen, Dacheng Tao